Monday, Nov 01, 2021
|
Monday, Nov 01, 2021
10:30 AM - 12:00 PM PDT
|
|
S23: Panel - How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned
Join the chat*
*If you are trying to access this chat via the AMIA Events Mobile App, click "Join AMIA Chat Sessions" from the app homepage and navigate to the session.
AI is transforming many aspects of society, but adoption has been slow in healthcare. The COVID-19 pandemic presented a wide array of challenges and an urgent need for rapid response, which accelerated the development and adoption of AI in the medical domain. This has led to the creation of new tools and methods as well as elevated the need for partnerships between healthcare providers and AI researchers across academia and industry. It has also accelerated interest within the AI research community in applying AI technologies to tackle the unique challenges posed by the medical domain. As a result, the creation of large novel datasets and new technologies has proceeded at an unprecedented pace. This session will focus on lessons learned from the accelerated development and deployment of AI technologies in healthcare in response to some of the urgent needs and challenges and posed by the pandemic which may form the basis of a “new normal” for AI in the medical domain.
Speaker(s):
Speaker:
Michal Rosen-Zvi, IBM
Speaker:
Juan Wisnivesky, Icahn School of Medicine at Mount Sinai
Speaker:
Anil Jain, IBM Watson Health
Speaker:
Eileen Koski, IBM Research
Speaker:
Christopher Weight
Artificial Intelligence
COVID-19
Legal, Ethical, Social and Regulatory Issues
Panel
Location:
Sapphire BC
Room Level: Level 4
Session Code: S23
Credit: 1.50
|
Location:
Sapphire BC
Room Level: Level 4
Session Code: S23
Credit: 1.50
|
2021110110:3012:00 043
|
MON, NOV 1
|
7E752DAA-46D0-EB11-80EF-D1E7CDE2D2B0
98752DAA-46D0-EB11-80EF-D1E7CDE2D2B0
CE752DAA-46D0-EB11-80EF-D1E7CDE2D2B0
7EF8FDA9-38D0-EB11-80EF-D1E7CDE2D2B0
|
|